Render raises $100M at a $1.5B valuation
Read the announcementWhy deploy MongoDB on Render?
MongoDB is a NoSQL document database that stores data in flexible, JSON-like documents rather than traditional rows and columns. It solves the problem of rigid schema requirements in relational databases, allowing developers to iterate quickly and handle unstructured or semi-structured data at scale.
This template gives you a production-ready MongoDB instance with a single click—no Dockerfile wrangling, volume configuration, or manual deployment steps required. The persistent disk storage is already configured so your data survives restarts, and you can easily switch between MongoDB versions by selecting different branches. Skip the container orchestration headaches and get a running database in minutes instead of hours.
Architecture
What you can build
You'll have a MongoDB 4.2 database instance running on Render, ready to accept connections from your applications. This gives you a managed MongoDB deployment you can use as the data store for any project that needs a document database.
Key features
- One-click deployment: Deploy MongoDB to Render infrastructure using a single button click with pre-configured settings.
- Docker-based setup: Uses a Dockerfile pointing to MongoDB 4.2 stable release, allowing containerized database deployment.
- Version branch support: Provides separate branches with Dockerfiles for specific MongoDB release lines beyond the default 4.2.
- Render platform integration: Pre-configured for Render's managed infrastructure with documented manual deployment option via their docs.
Use cases
- Startup founder deploys user database for new SaaS MVP
- Backend developer stores JSON documents for e-commerce product catalog
- Data engineer sets up flexible schema for IoT sensor readings
- Solo developer quickly provisions database for side project authentication
Next steps
- Connect to your MongoDB instance using the mongo shell with your Render internal connection string — You should see a successful connection message and the MongoDB prompt (>) indicating the database is ready to accept commands
- Create a test collection and insert a document using db.testCollection.insertOne({name: 'test'}) — You should see an acknowledgment with insertedId confirming the document was stored successfully
- Verify data persistence by running db.testCollection.find() — You should see your test document returned, confirming MongoDB is storing and retrieving data correctly